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How Can Micro-Level Household Information Make a Difference for Agricultural Policy Making: Selected Examples from the KAMPAP Survey of Smallholder Agriculture and Non Farm Activities for Selected Districts in Kenya

Author

Listed:
  • Argwings-Kodhek, Gem
  • Jayne, Thomas S.
  • Nyambane, Gerald G.
  • Awuor, Tom
  • Yamano, Takashi

Abstract

Agriculture forms the foundation of Kenya’s economy. However, the information base on agriculture % including basic indicators on farmers’ input, production, and marketing behavior, household food consumption patterns, etc. % is weak and largely outdated. Agricultural policy is largely made on the basis of conventional wisdom about the way things work. In a dynamic, evolving economy, long-standing perceptions may become increasingly inconsistent with current reality, particularly when the system has been exposed to dramatic changes such as structural adjustment, market liberalization, and the advent of new technology. In such a setting, entrenched perceptions about the way farmers, traders and consumers actually behave may lead to unintended and even counterproductive government policy. This paper aims to demonstrate how monitoring the rural economy through timely, periodic and reasonably representative household surveys can inform debate on existing and emerging policy issues.

Suggested Citation

  • Argwings-Kodhek, Gem & Jayne, Thomas S. & Nyambane, Gerald G. & Awuor, Tom & Yamano, Takashi, 1998. "How Can Micro-Level Household Information Make a Difference for Agricultural Policy Making: Selected Examples from the KAMPAP Survey of Smallholder Agriculture and Non Farm Activities for Selected Dis," Food Security Collaborative Working Papers 57056, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  • Handle: RePEc:ags:midcwp:57056
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    File URL: http://purl.umn.edu/57056
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    References listed on IDEAS

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    1. Lele, Uma, 1990. "Structural adjustment, agricultural development and the poor: Some lessons from the Malawian experience," World Development, Elsevier, vol. 18(9), pages 1207-1219, September.
    2. Michael T. Weber & John M. Staatz & Eric W. Crawford & Richard H. Bernsten & John S. Holtzman, 1988. "Informing Food Security Decisions in Africa: Empirical Analysis and Policy Dialogue," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(5), pages 1044-1052.
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    Cited by:

    1. Jacobson, Arne, 2007. "Connective Power: Solar Electrification and Social Change in Kenya," World Development, Elsevier, vol. 35(1), pages 144-162, January.
    2. Mathenge, Mary K. & Smale, Melinda & Olwande, John, 2012. "The Impact of Maize Hybrids on Income, Poverty, and Inequality among Smallholder Farmers in Kenya," Food Security International Development Working Papers 146931, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    3. repec:bla:jageco:v:68:y:2017:i:1:p:45-69 is not listed on IDEAS
    4. Nyoro, James K. & Wanzala, Maria & Awour, Tom, 2001. "Increasing Kenya's Agricultural Competitiveness: Farm Level Issues," Working Papers 202676, Egerton University, Tegemeo Institute of Agricultural Policy and Development.
    5. Ayala Wineman & Nicole M. Mason & Justus Ochieng & Lilian Kirimi, 2017. "Weather extremes and household welfare in rural Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(2), pages 281-300, April.
    6. Nyoro, James K. & Wanzala, Maria N. & Awuor, Tom, 2001. "Increasing Kenya's Agricultural Competitiveness: Farm Level Issues," Food Security Collaborative Working Papers 55151, Michigan State University, Department of Agricultural, Food, and Resource Economics.

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